【Django】Utilizing ChatGPT API’s Streaming Feature with Django and uWSGI

2023年4月14日

In this article, we will explain how to use the ChatGPT API’s streaming feature with Django and uWSGI. By utilizing the streaming feature, you can achieve real-time responses and efficient data processing. We will discuss the necessary configurations in this article.

Required Tools and Libraries:

• Python 3
• Django
• uWSGI
• OpenAIのChatGPT API

Step 1: Set up a Django Project

First, create a new Django project and install the required packages.

$ django-admin startproject chatgpt_project
$ cd chatgpt_project
$ pip install django uwsgi
$ pip install djangorestframework
$ pip install openai

Step 2: Create a uWSGI Configuration File

Create a uwsgi.ini file in the project root directory and add the following content:

[uwsgi]
http-timeout = 86400
http-auto-chunked = true
add-header = X-Accel-Buffering: no

module = chatgpt_project.wsgi:application
master = true
processes = 5
socket = chatgpt_project.sock
chmod-socket = 664
vacuum = true
die-on-term = true

In this file, we enable the streaming feature by setting http-auto-chunked = true and add-header = X-Accel-Buffering: no.。

Refer to the previous steps for more information.

Step 3: Create a Django View (Using Django Rest Framework)

In the views.py file, create a view using DRF and the openai library to communicate with the ChatGPT API.

import openai
from django.http import StreamingHttpResponse
from rest_framework.views import APIView

class ChatGPTStreamView(APIView):
    def post(self, request):
        openai.api_key = "YOUR_API_KEY"
        prompt = "Your prompt here"

        response = openai.Completion.create(engine="davinci-codex", prompt=prompt, max_tokens=100, n=1, stream=True)

        def generate_stream_response():
            for choice in response['choices']:
                text = choice['text']
                yield text

        return StreamingHttpResponse(generate_stream_response(), content_type="text/plain")

Conclusion

In this tutorial, we learned how to use the ChatGPT API’s streaming feature with Django, uWSGI, Django Rest Framework, and the openai library. This enables real-time responses and efficient data processing. Use the provided configurations and code examples as a reference to implement the streaming feature in your own projects. As AI technology continues to evolve, it’s crucial to utilize effective data processing methods.